Calabi-Yau Manifold Solution Space Compression and Fractal Theory Exploration
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2025
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| _version_ | 1866901211811151872 |
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| author | zhou, ziqing zhou, changzheng |
| author_facet | zhou, ziqing zhou, changzheng |
| contents | <p>我们通过<br>整合分形理论来解决 Calabi-Yau 流形的解空间压缩问题,探索如何在物理约束下有效地过滤解空间并最终<br>实现收敛。从整体背景<br>到递归筛选框架的 “形式化推导”,我们将这些元素有机地<br>融合在一起,提出了一个结合了物理约束、<br>数学精度和动态递归优化的深度解决方案。</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14832818 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Calabi-Yau Manifold Solution Space Compression and Fractal Theory Exploration zhou, ziqing zhou, changzheng Calabi–Yau Manifolds Fractal Theory Recursive Screening Solution Space Compression Dynamic Optimization Machine Learning <p>我们通过<br>整合分形理论来解决 Calabi-Yau 流形的解空间压缩问题,探索如何在物理约束下有效地过滤解空间并最终<br>实现收敛。从整体背景<br>到递归筛选框架的 “形式化推导”,我们将这些元素有机地<br>融合在一起,提出了一个结合了物理约束、<br>数学精度和动态递归优化的深度解决方案。</p> |
| title | Calabi-Yau Manifold Solution Space Compression and Fractal Theory Exploration |
| topic | Calabi–Yau Manifolds Fractal Theory Recursive Screening Solution Space Compression Dynamic Optimization Machine Learning |
| url | https://doi.org/10.5281/zenodo.14832818 |